This paper is designed so that the student get familiar with statistical software for solving the problems based on multivariate data and various mathematical problems.
Students will able to
Course |
Learning outcomes (at course level |
Learning and teaching strategies |
Assessment Strategies
|
|
Paper Code |
Paper Title |
|||
STT-325 |
Practical |
CO 88: Test partial and multiple correlation coefficients on multinomial and multivariate normal distribution.
CO 89: Solve dynamic programming problems using various methods.
CO 90: Determine the inventory level of an industry for the smooth functioning and Understand the concept of probability inventory problems.
CO 91: Solve the problems related to queuing theory and PERT-CPM to solve network. |
Approach in teaching: Interactive Lectures, Group Discussion, Classroom Assignment Problem Solving Sessions
Learning activities for the students: Assignments Seminar Presentation Subject based Activities |
Software based Assignments Individual Presentation Class Test |
1. Power curve for testing one sided Null Hypothesis hypothesis against one sided and two sided attentive for
(i) Binomial distribution
(ii) Poisson distribution
(iii) Normal distribution
(iv) Exponential distribution
2. Linear combination of correlated normal variates and evaluation of probabilities.
3. Estimation of mean vector and covariance matrix.
4. Testing of partial and multiple correlation coefficients.
5. Discriminate function.
6. Decision problems under uncertainty and risk.
7. Solving linear Programming Problem using graphical method.
8. Solving linear Programming Problem using simplex method.
9. Deterministic Inventory problems.
10. Queuing models M/M/1 and M/M/c.
11. Sequencing problem
12. Pert- CPM
13. Practical based on the optional paper (STT-324) opted by students.
Note: Practical exercises will be conducted on computer by using MS-Excel/SPSS/R.